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aliyun-sls-mcp

by SuxyEE
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    TDQS

    A4.1/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: list_projects and list_logstores are for discovery, query_logs and query_logs_sql are for different query methods, get_log_histogram provides time-series analysis, and get_context_logs offers contextual retrieval. The descriptions explicitly differentiate their use cases, eliminating any ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case (e.g., list_projects, query_logs, get_log_histogram). The naming is predictable and readable throughout, making it easy for agents to understand the action and target resource without confusion.

    Tool Count5/5

    With 6 tools, the server is well-scoped for log analysis and management in Aliyun SLS. Each tool earns its place by covering essential operations like discovery, querying, aggregation, and contextual analysis, without being overly sparse or bloated for the domain.

    Completeness4/5

    The toolset provides strong coverage for core log analysis workflows, including discovery, querying, aggregation, and contextual retrieval. A minor gap exists in lacking explicit CRUD operations for managing logstores or projects (e.g., create/delete), but this is reasonable for a read-focused analysis server, and agents can still perform most tasks effectively.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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